Language R The HELPfull data within the mosaicData package contains information about the Health Evaluation and Linkage to Primary Care (HELP) randomized trial in tall format Generate a table of the data for subjects (ID) 1, 2, and 3 that includes the ID variable, the TIME variable, and the DRUGRISK and SEXRISK variables (measures of drug and sex risk taking behaviors, respectively) The HELP trial was designed to collect information at 0, 6, 12, 18, and 24 month intervals At which timepoints were measurements available on the RISK variables for subject 3 Lets restrict our attention to the data from the baseline (TIME 0) and 6 month data Use the pivot wider() function from the dplyr package to create a table that looks like the following A tibble 3 5 ID DRUGRISK 0 DRUGRISK 6 SEXRISK 0 SEXRISK 6 1 1 0 0 4 1 2 2 0 0 7 0 3 3 20 13 2 4 Repeat this process using all subjects What is the Pearson correlation between the baseline (TIME 0) and 6 month DRUGRISK scores Repeat this for the SEXRISK scores (Hint use the use complete obs option from the cor() function )

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Language: R The `HELPfull` data within the `mosaicData` package contains information about the Health Evaluation and Linkage to Primary Care (HELP) randomized trial in tall

Language: R

The `HELPfull` data within the `mosaicData` package contains information about the Health Evaluation and Linkage to Primary Care (HELP) randomized trial in tall format.

Generate a table of the data for subjects (ID) 1, 2, and 3 that includes the ID variable, the TIME variable, and the DRUGRISK and SEXRISK variables (measures of drug and sex risk-taking behaviors, respectively).
The HELP trial was designed to collect information at 0, 6, 12, 18, and 24 month intervals. At which timepoints were measurements available on the *RISK variables for subject 3?
Lets restrict our attention to the data from the baseline (TIME = 0) and 6-month data. Use the pivot_wider() function from the dplyr package to create a table that looks like the following:

# A tibble: 3  5 ID DRUGRISK_0 DRUGRISK_6 SEXRISK_0 SEXRISK_6      1 1 0 0 4 1 2 2 0 0 7 0 3 3 20 13 2 4

Repeat this process using all subjects. What is the Pearson correlation between the baseline (TIME = 0) and 6-month DRUGRISK scores? Repeat this for the SEXRISK scores. (Hint: use the use = "complete.obs" option from the cor() function.)